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Research on the data platform needs of university faculty and students
- 1 Shandong Normal University
* Author to whom correspondence should be addressed.
Abstract
In today’s world, big data permeates every industry, leading to a substantial increase in research data and driving the scientific paradigm towards data-intensive research. With the development of intensive research, the demand for data processing and analysis is growing, particularly pronounced in the fields of research and management in universities. Currently, education in China is transitioning from informatization to digitization to enhance the quality of education, research by faculty and students, and the overall operational quality of schools, thereby achieving high-quality development in higher education. Digitization has become a crucial innovative path for the modernization of education in China and is an important strategy for building a high-quality education system. However, many university teachers and students still face challenges such as time-consuming and labor-intensive data processing, lack of relevant technical expertise, and difficulty in seeking guidance from professional experts. At the same time, the number of professionals in the big data industry is gradually increasing, and they aspire to enhance their professional skills through practical experience, earn additional income, but lack suitable avenues. To address these market challenges and pain points, fill market gaps, promote the academic and research capabilities of university faculty and students, improve personnel management efficiency, and advance scientific research in China, this survey is conducted to propose practical and feasible suggestions and actively engage in implementation.
Keywords
data, service platform, university faculty and students, innovative approaches, solutions
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Cite this article
Lv,X. (2023). Research on the data platform needs of university faculty and students. Advances in Operation Research and Production Management,1,27-34.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Advances in Operation Research and Production Management
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